subcluster
Rent vs Own
4 articles
Articles
May 22, 2026
On-Prem vs Cloud GPU Breakeven: The 2026 Infrastructure Guide
Deciding between buying an 8x H100 server and renting cloud compute requires more than comparing list prices. We break down the utilization thresholds, power constraints, and compliance factors that dictate your total cost of ownership.
February 23, 2026
Colocation vs Cloud GPU for ML: An Engineering Guide
Choosing between owning hardware in a colocation facility and renting cloud GPUs is a trade-off between operational velocity and long-term cost efficiency. For modern ML teams, the decision hinges on utilization rates, data residency requirements, and the hidden tax of infrastructure management.
February 23, 2026
Dedicated GPU vs Cloud Instance: The Engineer's Guide to AI Infrastructure
Choosing between dedicated hardware and virtualized cloud instances is a critical architectural decision for AI teams. This guide breaks down the technical trade-offs to help you optimize for throughput, compliance, and total cost of compute.
January 7, 2026
GPU ROI: Beyond the Hourly Rate in ML Infrastructure
Most ML teams focus on the hourly cost of an H100 while ignoring the idle time and DevOps friction that actually destroy their margins. True ROI requires a shift from measuring price-per-hour to measuring price-per-successful-training-run.